Test-time adaptation (TTA) has been a widely-studied paradigm for adapting well-trained models to distributionally shifted test data. Recent works extend TTA to graphs using graph augmentations and self-supervised objectives in Euclidean space. However, graph-structured data often exhibit heterogeneity where semantic s...
Ling-Wei Wei, Dou Hu, Li Sun et al.· Proceedings of the 32nd ACM...· 0 citations
Results show that TOP-R requires defenses beyond prompting alone, and introduces Library-Grounded Reverse-Inference Seed Expansion (LRSE), a four-library reverse-construction pipeline, and proposes TOP-Align, an SFT+DPO method for learning safer task-completion boundaries.
Yu Qiao, Dongqi Liu, Hong-Chang Yang et al.· arXiv.org· 12 citations· ⚡2
A role-layer framework is introduced to unify LLM risks and defenses, and identifies three key open challenges: moving from static detection accuracy to budgeted ecosystem-level risk evaluation, hardening LLM-centered verification pipelines against adversarial manipulation, and deploying auditable human-in-the-loop ver...
Lingwei Wei, Dou Hu, Wei Zhou et al.· 0 citations
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